import io import base64 import gradio as gr import iscc_core as ic import iscc_sdk as idk from PIL import Image idk.sdk_opts.image_thumbnail_size = 265 idk.sdk_opts.image_thumbnail_quality = 80 idk.sdk_opts.granular = True custom_css = """ .fixed-height img { height: 265px; /* Fixed height */ object-fit: contain; /* Scale the image to fit within the element */ } #chunked-text span.label { text-transform: none !important; } """ newline_symbols = { "\u000a": "⏎", # Line Feed - Represented by the 'Return' symbol "\u000b": "↨", # Vertical Tab - Represented by the 'Up Down Arrow' symbol "\u000c": "␌", # Form Feed - Unicode Control Pictures representation "\u000d": "↵", # Carriage Return - 'Downwards Arrow with Corner Leftwards' symbol "\u0085": "⤓", # Next Line - 'Downwards Arrow with Double Stroke' symbol "\u2028": "↲", # Line Separator - 'Downwards Arrow with Tip Leftwards' symbol "\u2029": "¶", # Paragraph Separator - Represented by the 'Pilcrow' symbol } def no_nl(text): for char, symbol in newline_symbols.items(): text = text.replace(char, symbol) return text def generate_iscc(file): imeta = idk.code_iscc(file.name) thumbnail = None if imeta.thumbnail: header, encoded = imeta.thumbnail.split(",", 1) data = base64.b64decode(encoded) thumbnail = Image.open(io.BytesIO(data)) metadata = imeta.dict(exclude_unset=False, by_alias=True) if metadata.get("thumbnail"): del metadata['thumbnail'] return imeta.iscc, thumbnail, metadata def explain_iscc(code): canonical = ic.iscc_normalize(code) human = " - ".join(ic.iscc_explain(code).split("-")) code_obj = ic.Code(canonical) decomposed = " - ".join(ic.iscc_decompose(canonical)) multiformat = code_obj.mf_base58btc return canonical, human, decomposed, multiformat def generate_text_code(text, chunk_size): original_chunk_size = idk.sdk_opts.text_avg_chunk_size idk.sdk_opts.text_avg_chunk_size = chunk_size cleaned = ic.text_clean(text) processed = idk.text_features(cleaned) features = processed["features"] sizes = processed["sizes"] start = 0 chunks = [] for size in sizes: end = start + size chunks.append(no_nl(cleaned[start:end])) start = end result = [(chunk, f"{size}:{feat}") for chunk, size, feat in zip(chunks, sizes, features)] idk.sdk_opts.text_avg_chunk_size = original_chunk_size return result with gr.Blocks(title="ISCC-CODE") as demo_generate: gr.Markdown(""" ## 🌟 ISCC-CODE Generator - The DNA of digital content """) with gr.Row(): with gr.Column(scale=2): in_file = gr.File(label="Media File") with gr.Column(scale=1): out_thumbnail = gr.Image(label="Extracted Thumbnail", elem_classes=["fixed-height"]) with gr.Row(): out_iscc = gr.Text(label="ISCC-CODE", show_copy_button=True) with gr.Row(): out_meta = gr.Json(label="Metadata") in_file.change(generate_iscc, inputs=[in_file], outputs=[out_iscc, out_thumbnail, out_meta]) with gr.Blocks("ENCODING") as demo_decode: gr.Markdown(""" ## 🌟 A Codec for Self-Describing Compact Binary Codes """) with gr.Row(): with gr.Column(): in_iscc = gr.Text( label="ISCC", info="INPUT ANY VALID ISCC-CODE OR ISCC-UNIT", autofocus=True, ) examples = [ "ISCC:AAAWN77F727NXSUS", # Meta-Code "bzqaqaal5rvp72lx2thvq", # Multiformat "ISCC:EAASKDNZNYGUUF5A", # Text-Code "ISCC:GABW5LUBVP23N3DOD7PPINHT5JKBI", # Data-Code 128 bits "ISCC:KUAG5LUBVP23N3DOHCHWIYGXVN7ZS", # ISCC-SUM "ISCC:KAA2Y5NUST7BFD5NN2XIDK7VW3WG4OEPMRQNPK37TE", # ISCC-CDI "z36hVxiqoF8AAmDpZV958hn3tsv2i7v1NfCrSzpq", # ISCC-CDI multiformats "ISCC:KACT4EBWK27737D2AYCJRAL5Z36G76RFRMO4554RU26HZ4ORJGIVHDI", ] gr.Examples(label="Example ISCCs", examples=examples, inputs=[in_iscc]) gr.Markdown("## Different Encodings:") with gr.Row(): with gr.Column(): out_canonical = gr.Text( label="Canonical", info="NORMALIZED STANDARD REPRESENTATION", show_copy_button=True, ) out_human = gr.Text( label="Human Readable", info="MAINTYPE - SUBTYPE - VERSION - LENGTH - BODY", show_copy_button=True, ) out_decomposed = gr.Text( label="Decomposed", info="ISCC-UNITS", show_copy_button=True, ) out_multiformat = gr.Text( label="Multiformat", info="BASE58-BTC", show_copy_button=True, ) in_iscc.change(explain_iscc, inputs=[in_iscc], outputs=[ out_canonical, out_human, out_decomposed, out_multiformat, ]) with gr.Blocks(title="CHUNKING") as demo_text_code: gr.Markdown(""" ## 🌟 Content Defined Chunking for Shift-Resistant Text and Data Segmentation """) with gr.Row(): with gr.Column(): in_text = gr.Textbox(label="Text Input", lines=8, autofocus=True) in_chunksize = gr.Slider( label="Chunk Size", info="AVERAGE NUMBER OF CHARACTERS PER CHUNK", minimum=32, maximum=2048, step=32, value=64) out_text = gr.HighlightedText( label="Chunked Text Output", interactive=False, elem_id="chunked-text", ) in_text.change(generate_text_code, inputs=[in_text, in_chunksize], outputs=[out_text]) in_chunksize.change(generate_text_code, inputs=[in_text, in_chunksize], outputs=[out_text]) demo = gr.TabbedInterface( title="▶️ ISCC Playground", interface_list=[demo_generate, demo_decode, demo_text_code], tab_names=["ISCC-CODE", "ENCODING", "CHUNKING"], css=custom_css, ) if __name__ == '__main__': demo.launch(debug=True, show_api=True)